The TagB Protein in Bacillus subtilis 168 Is an Intracellular Peripheral Membrane Protein That Can Incorporate Glycerol Phosphate onto a Membrane-bound Acceptor in Vitro
Bibliographic record
Abstract
Genes involved in the synthesis of poly(glycerol phosphate) wall teichoic acid have been identified in the tag locus of the model Gram-positive organism Bacillus subtilis 168. The functions of most of these gene products are predictable from sequence similarity to characterized proteins and have provided limited insight into the intracellular synthesis and translocation of wall teichoic acid. Nevertheless, critical steps of poly(glycerol phosphate) teichoic acid polymerization continue to be a puzzle. TagB and TagF, encoded in the tag locus, do not show sequence similarity to characterized proteins. We recently showed that recombinant TagF could catalyze glycerol phosphate polymerization in vitro. Based largely on homology to TagF, the TagB protein has been proposed to catalyze either an intracellular glycerophosphotransfer reaction or the extracellular teichoic acid/peptidoglycan ligation reaction. Here we have taken steps to characterize TagB, particularly through in vivo localization studies and in vitro biochemical assay, in order to make a case for either role in teichoic acid biogenesis. We have shown that TagB associates peripherally with the intracellular face of the cell membrane in vivo. We have also produced recombinant TagB and used it to demonstrate the enzymatic incorporation of labeled glycerol phosphate onto a membrane-bound acceptor. The data collected from this and the accompanying study are strongly supportive of a role for TagB in B. subtilis 168 teichoic acid biogenesis as the CDP-glycerol:N-acetyl-beta-d-mannosaminyl-1,4-N-acetyl-d-glucosaminyldiphosphoundecaprenyl glycerophosphotransferase. Here we use the trivial name "Tag primase."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".